Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
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My previous experience with finetunes is bad..
Today I tried Ornith-1.5-35B-A3B, and I'm quite positively surprised by it.. I compared it to both Qwen3.7-Flash and MiMo-V2.5 (via OpenRouter) in a few coding tasks and Ornith seems to be better than both! Thinks much more but the result definitely speaks for itself.
Hoping for Qwen3.8-35B soon ๐ค
Have you tried Kat Coder? It's also a fine-tune of Qwen 35b and I've heard good things about it
I feel like Ornith 1.0 9b was the best coding model at that size (since Qwen has neglected that size). Maybe now Ling Tiny is better but I'm curious to try Ornith 1.5
I agree. I'm very interested to try it. I felt like Ornith 1.0 tried a little too hard to second-guess and overcorrect itself and would sometimes end up steering itself down an inescapable rabbit hole of self-correction ad absurdum, when ironically its first solution was often the best, sometimes would work as-is or with only a little refinement needed. I'm hopeful that 1.5 will improve that.